What do we mean by a neighborhood?
NeighborhoodScout® uses the official government designation for neighborhoods - the census tract.
Census tracts are small, relatively permanent subdivisions of a county that are defined by the U.S. Census Bureau in conjunction with local authorities all across the country to define real neighborhoods that are bounded to contain areas with homogeneous population characteristics (including economic status, lifestyle, and living conditions). Census tracts usually have 4,000 persons, but can range between 1,500 and 8,000 persons. This is the most fine-grained area for which detailed information is made available from the government, to protect the individual privacy of each of us. Because census tracts are based on population, they vary in size depending on the density of settlement. In urban areas, they are small, and in rural areas they can cover an entire small town or even a few small towns in very rural areas.
Since census tracts are subdivisions of a county, we did a spatial overlay of the census tracts onto city and town boundaries using a geographic information system to properly assign each census tract to its appropriate city or town. Then we named each census tract to the local colloquially recognized neighborhood name for that spot (e.g., Boston, MA (Dorchester). If there was not a name available, we named the census tract by the largest street intersection in the census tract (e.g., Worcester, MA (Lincoln St/Plantation St)
Why we don't use Zip Codes as neighborhoods
Zip codes were developed by the Postal Service for the purpose of delivering mail, but were never intended to define coherent neighborhoods. In addition, Zip Codes can have as many as 10 distinctly different census tracts contained within them. When distinct census tracts are blended together in a single Zip Code, the data reflects their average conditions and often gives a false sense of the area. The result is that potentially great matching neighborhoods can be missed, and erroneous matches can also be produced and delivered to you.
Using census tracts makes great matches possible, and helps people find the areas that are best for them and their families. Because we are committed to providing the highest possible quality and finding the neighborhoods that best meet your criteria, we use census tracts. And, as always, we show you the actual street map of the neighborhood so you know exactly where your best matching neighborhood is located.
What is a Condition Alert?
A condition alert is a condition in the neighborhood that triggers an alert. NeighborhoodScout contains condition alerts to highlight conditions that are extreme, whether good or bad. This helps answer crucial questions about the state of the neighborhood being evaluated, such as:
What are the risks of violent crime here?
Is the risk of home break-ins or other property crimes increasing?
Does real estate here hold its value?
Are the trends in local vacancies or unemployment concerning?
...and dozens more.
Information at a glance that you need to know to invest, appraise or finance a property.
Behrend / Kanty median real estate price is $402,249, which is more expensive than 72.8% of the neighborhoods in Pennsylvania and 54.3% of the neighborhoods in the U.S.
The average rental price in Behrend / Kanty is currently $2,034, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 66.9% of the neighborhoods in Pennsylvania.
Behrend / Kanty is a rural neighborhood (based on population density) located in Erie, Pennsylvania.
Behrend / Kanty real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and townhomes. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Behrend / Kanty neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1940 and 1969.
Vacant apartments or homes are a major fact of life in Behrend / Kanty. The current real estate vacancy rate here is 25.3%. This is higher than the rate of vacancies in 92.6% of all U.S. neighborhoods. In addition, most vacant housing here is vacant year round. This can sometimes be the case in neighborhoods dominated by new construction that is not yet occupied. But often neighborhoods with vacancy rates this high are places that can be plagued by a protracted vacancy problem. If you live here, you may find that a number of buildings in your neighborhood are actually empty.
Notable & Unique Neighborhood Characteristics
Many things matter about a neighborhood, but the first thing most people notice is the way a neighborhood looks and its particular character. For example, one might notice whether the buildings all date from a certain time period or whether shop signs are in multiple languages. This particular neighborhood in Erie, the Behrend / Kanty neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
An extraordinary 77.4% of the residents of the Behrend / Kanty neighborhood are currently enrolled in college. This is such a large part of life in this neighborhood that the neighborhood changes a great deal with the change of semesters and is far quieter during the summer when many students are away.
Modes of Transportation
More people in Behrend / Kanty choose to walk to work each day (29.2%) than almost any neighborhood in America. If you are attracted to the idea of being able to walk to work, this neighborhood could be a good choice.
Length of Commute
Regardless of the means by which residents commute, this neighborhood has a length of commute that is notable. Residents of the Behrend / Kanty neighborhood have the pleasure of having one of the shortest commutes to work of any neighborhood in America. 71.7% of the residents have a commute time from home to work (one way) of less than fifteen minutes. This is a higher proportion of residents enjoying a short trip to work than NeighborhoodScout found in 98.8% of U.S. neighborhoods. Less time commuting means more time for other things in life.
Occupations
There are more people living in the Behrend / Kanty neighborhood employed as sales and service workers (61.0%) than almost any neighborhood in the country. From fast-food service workers to major sales accounts, sales and service workers make up the largest proportion of our national employment picture. But despite that size and importance nationally, this neighborhood still stands out as unique due to the dominance of people living here who work in such occupations.
Real Estate
85.9% of the real estate in the Behrend / Kanty neighborhood is occupied by renters, which is nearly the highest rate of renter occupancy of any neighborhood in America.
Diversity
Did you know that the Behrend / Kanty neighborhood has more Hungarian ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.6% of this neighborhood's residents have Hungarian ancestry.
Behrend / Kanty is also pretty special linguistically. Significantly, 0.3% of its residents five years old and above primarily speak Mon-Khmer, which is the dominant language of Cambodia, at home. While this may seem like a small percentage, it is higher than 96.9% of the neighborhoods in America.
Migration / Stability
The freedom of moving to new places versus the comfort of home. How much and how often people move not only can create diverse and worldly neighborhoods, but simultaneously it can produce a loss of intimacy with one's surroundings and a lack of connectedness to one's neighbors. NeighborhoodScout's exclusive research has identified this neighborhood as unique with regard to the transience of its populace. In the Behrend / Kanty neighborhood, a greater proportion of the residents living here today did not live here five years ago than is found in 96.4% of U.S. Neighborhoods. This neighborhood, more than almost any other in America, has new residents from other areas.
The Neighbors
There are two complementary measures for understanding the income of a neighborhood's residents: the average and the extremes. While a neighborhood may be relatively wealthy overall, it is equally important to understand the rate of people - particularly children - who are living at or below the federal poverty line, which is extremely low income. Some neighborhoods with a lower average income may actually have a lower childhood poverty rate than another with a higher average income, and this helps us understand the conditions and character of a neighborhood.
The neighbors in the Behrend / Kanty neighborhood in Erie are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 100.0% of U.S. neighborhoods. With 42.6% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 90.9% of U.S. neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the Behrend / Kanty neighborhood, 39.0% of the working population is employed in sales and service jobs, from major sales accounts, to working in fast food restaurants. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 24.4% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (19.2%), and 17.3% in clerical, assistant, and tech support occupations.
Languages
The most common language spoken in the Behrend / Kanty neighborhood is English, spoken by 84.5% of households. Some people also speak Spanish (2.2%).
Ethnicity / Ancestry
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the Behrend / Kanty neighborhood in Erie, PA, residents most commonly identify their ethnicity or ancestry as German (19.5%). There are also a number of people of Irish ancestry (11.9%), and residents who report Italian roots (11.5%), and some of the residents are also of Asian ancestry (10.0%), along with some Polish ancestry residents (8.2%), among others. In addition, 10.9% of the residents of this neighborhood were born in another country.
Getting to Work
Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in Behrend / Kanty neighborhood spend under 15 minutes commuting one-way to work (71.7% of working residents), one of the shortest commutes across America.
Here most residents (42.8%) drive alone in a private automobile to get to work. In addition, quite a number also hop out the door and walk to work to get to work (29.2%) and 8.0% of residents also carpool with coworkers, friends, or neighbors for their daily commute. In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
SCOUT’s patented match algorithm identifies the most similar neighborhoods to a subject location, and quantifies the similarity to the subject location. This allows analysts to identify the most similar neighborhoods in a local market area for appraisals, investments, and research.
The algorithm uses 273 neighborhood conditions, identifies the dominant dimensions underlying the conditions and calculates the similarity. This captures the true culture and character of locations, economic conditions, and trends.
The closer to 100% means the locations are nearly identical. 80% is a very good, but not excellent match, and so forth.
